Semantic segmentation is referred to as a process of linking each pixel in an image to a
class label. With this pragmatic technique, it is possible to recognize different objects in an …

RGB-D data is essential for solving many problems in computer vision. Hundreds of public
RGB-D datasets containing various scenes, such as indoor, outdoor, aerial, driving, and …

The recent success of Generative Adversarial Networks (GAN s) in image and video
applications led to the development of numerous variants specialised for particular tasks …

In modern computer vision models, the quality and quantity of training data have become
crucial. Datasets deemed sufficient a few years ago now require data augmentation to …

Current artificial intelligence (AI) workflows depend on researchers performing laborious
annotation work. In the case of computer vision, crowdsourcing is a popular alternative to …

With the increasing availability of low-cost high quality cameras, embedded vision systems,
advanced computer vision algorithms, and proliferating solutions based on image/video …